Articles tagged with Magnetic Resonance Imaging
The Stevens INI is expanding its health disparities research with a new award to examine vascular causes of dementia in Asian Americans. The project aims to use innovative imaging techniques and clinical translations to better understand cerebral small vessel disease (CSVD) and its impact on cognitive impairment and dementia.
Researchers at Helmholtz Munich developed a non-invasive method using MR imaging to detect early signs of vascular disease associated with chronic pulmonary impairment in premature infants. The study presents a new tool for risk stratification and potential prevention of complications later in life.
Researchers developed a noninvasive technique to visualize and differentiate nerve tissue using multispectral photoacoustic imaging. The study revealed the optimal wavelengths for identifying nerve tissue, which could improve nerve detection and segmentation techniques.
A new article published in RadioGraphics warns of a potential side effect of novel Alzheimer's treatments: amyloid-related imaging abnormalities (ARIA). ARIA can cause swelling or bleeding in the brain and may be asymptomatic. Radiologists must monitor for ARIA to plan image monitoring per established guidelines.
A new study found that younger atrial fibrillation (AFib) patients who underwent MRI-guided ablation treatments had better outcomes. The treatment significantly improved arrhythmia recurrence rates by 50% for patients under 58 years old.
A study found that longer duration of type 2 diabetes is associated with decreased brain structure and increased white matter hyperintensities. Despite this, cognition was not affected, highlighting the need for early screening for cognitive disorders in diabetic patients.
Researchers developed tomoelastography, an imaging technique that maps tumor mechanical properties using MRI. Studies found consistent patterns between changes in tumor stiffness and increasing aggressiveness. The technique allows for precise measurement of tumor fluidity, enabling more accurate diagnoses and tailored treatment options.
A machine learning model found that background parenchymal enhancement (BPE) on breast MRI is an indicator of breast cancer risk in women with extremely dense breasts. Women with dense breasts are at a higher risk of developing breast cancer compared to those with fatty breasts.
A radiomic-based model using T2-weighted MRI data achieved high accuracy in diagnosing pediatric Crohn disease, outperforming expert radiologists. The model was ensembled with clinical data to further improve performance.
A team of physicists and medical doctors developed a portable Magnetic Particle Imaging (MPI) scanner that can visualize dynamic processes in the human body, such as blood flow, without using radiation. The scanner is designed for real-time endovascular interventions and has the potential to change the field of intervention.
PSMA PET imaging provides prognostic information on cancer recurrence risk before treatment, improving personalized treatments and guiding surgical plans. The tool outperforms current standard tests in predicting biochemical recurrence, a critical factor in determining cancer-specific mortality.
Researchers developed a new method to detect hypertrophic cardiomyopathy (HCM) using combined cardiac diffusion tensor imaging and cardiac MRI perfusion scans. The study identified abnormal microstructure and microvascular disease in people with genetic mutations but no symptoms, allowing for early detection of the condition.
Researchers at NIST have developed new methods for creating images with weaker magnetic fields, enabling the use of low-field MRI scanners in mobile settings. The findings reveal iron oxide nanoparticles as a promising contrast agent for enhancing image quality in these systems.
The University of Texas Health Science Center at San Antonio has developed an AI algorithm that can accurately count brain lesions on MRI scans in seconds. This tool helps neuroradiologists evaluate patients' brain diseases at earlier stages and identify the most significant lesions associated with stroke and small-vessel disease.
Researchers have discovered a novel copper protein binding site that shows promise for use in magnetic resonance imaging (MRI) contrast agents, potentially leading to clearer images and improved diagnoses. The new structure displayed highly effective levels of relaxivity, equal and superior to existing Gd(III) agents used in clinical MRI.
Using MRI instead of CT with CTA alone in patients presenting to the ED with dizziness was associated with greater critical neuroimaging results and more frequent echocardiography. Patients with dizziness undergoing MRI showed a lower frequency of 90-day ED readmissions compared to those discharged after CT with CTA alone.
New research uses MRI and CT scans to study the anatomy of primate clitoris, revealing stark differences in morphology across species. The findings suggest that female genitalia have been chronically understudied, with significant diversity in clitoral structure and function.
Adults without dementia exhibit age-dependent brain structure volumes and changes, clarifying the aging brain's normal distributions. These findings contribute to understanding age-related neurodegenerative diseases.
A recent study by researchers at the University of Vienna found that dogs and humans have brain regions specialized in perceiving body postures, similar to those found in humans. The study used magnetic resonance imaging (MRI) to compare the brains of 40 human participants with 15 pet dogs.
Researchers found a disrupted balance between glutamate and GABA neurotransmitters in the brains of people with OCD, which may lead to new treatment strategies. The study also suggests that excess glutamate levels could serve as a biomarker for OCD.
A new AI model has been developed to help doctors determine the extent of cancer within the prostate gland, improving the effectiveness of focal therapy. The model was found to be more accurate than magnetic resonance imaging (MRI) in predicting tumor margins, reducing the chance of cancer recurrence.
Researchers at TUM developed a new approach to measure human brain activity using microelectrodes and awake brain surgery. They found individual neurons specialize in handling specific numbers, providing insights into cognitive functions and developing solutions for brain function disorders.
A new study from researchers at Wake Forest University School of Medicine reveals that cardiac magnetic resonance imaging (MRI) is a safe and accurate tool to evaluate complex patients. Cardiac MRI reduced the need for invasive angiography over the long-term follow-up period, making it a highly reliable first-line testing option.
A new study published in Sleep Health found that habitual daytime napping is associated with a larger total brain volume, a marker of good brain health linked to lower risk of dementia and other diseases. The research team used Mendelian randomisation to establish a causal link between napping and brain health.
Young adults with a history of heavy drinking since adolescence exhibit lower cortical gray matter thickness and altered neurotransmission, according to a recent study. Cortical thinning is associated with increased inhibitory neurotransmission, especially in the frontal and parietal lobes.
A study found that patients with transient ischemic attack (TIA) who received incomplete neurovascular imaging were at higher odds of experiencing a stroke within 90 days. The research, published in the American Journal of Roentgenology, used Medicare claims data to analyze TIA emergency department encounters.
Researchers have developed an effective treatment that accelerates recovery after stroke by modulating astrocyte reactivity and cortical connectivity. The treatment, which involves administering a molecule called C3a in nasal drops, has shown positive results in mice with stroke, offering new hope for faster and better recovery.
A study published in Scientific Reports found that longer spaceflight missions can cause ventricle volume expansion, which tapers off after six months. Astronauts who had shorter recovery times between missions showed little to no enlargement of their ventricles post-flight.
A new study published in The Neuroradiology Journal introduces an artificial intelligence computer program that can accurately identify changes in brain structure resulting from repeated head injury. This AI tool uses machine learning to process magnetic resonance imaging (MRI) scans and distinguish between the brains of male athletes ...
Researchers at the University of Gothenburg have developed a new blood test that can measure biomarkers in the blood before and after neurosurgery, correlating with the extent of brain injury. The study found that high levels of certain markers may indicate damage that could cause cognitive problems for patients in the long term.
A new study found that marathon running causes significant damage to extrinsic foot muscles, while intrinsic muscles are less affected. The research suggests that marathon runners can take steps to prevent injuries by prioritizing recovery and muscle fatigue management.
Online radiologists choose studies based on financial attractiveness, leading to delays in high-priority cases. This study found that expedited priority class contained the highest percentage of delayed studies.
The development of SimulScan technology will help clinicians diagnose disordered swallowing more accurately. The researchers aim to investigate how swallowing behaviors change across the lifespan to create personalized treatments for patients with dysphagia.
A study found that excitatory-inhibitory imbalance, characterized by higher glutamate levels and lower GABA levels, precedes psychosis in individuals with 22q11.2 deletion syndrome. This imbalance is associated with hippocampal atrophy and cognitive decline.
The study used magnetic resonance imaging (MRI) to measure acute pressure changes inside the heart, discovering that pressure increases when patients receive a specific medication called adenosine. This technology can help doctors better diagnose and monitor patients with heart disease and heart failure.
Dr. Miaomiao Zhang's research aims to automate late mechanical activation detection from cardiac magnetic resonance images using machine learning and AI techniques. This could lead to more accurate placement of CRT electrodes and improved patient outcomes.
The American College of Radiology (ACR) has introduced new guidelines recommending earlier and more intensive breast cancer screening for high-risk women, including Black women. According to the ACR, risk assessment by age 25 is necessary to determine if screening should start before age 40.
A new MRI approach uses harmless glucose solution to map brain glucose metabolism, generating reliable results and potentially improving diagnosis of conditions like Alzheimer's and cancer. Further studies are needed to confirm the findings and deploy this less-invasive method for patients.
A team of experts identified 29 sources of bias in AI/ML models for medical imaging, including data collection, preparation, and deployment. The study provides a comprehensive roadmap for mitigating these biases and ensuring fairness, equity, and trust in AI/ML models.
The study designs and synthesizes spherical high-nuclear lanthanide clusters with high stability, excellent solubility in organic solvents or aqueous solutions. These properties make them suitable as a new type of Gd-based MRI contrast agent, outperforming existing agents like Gd-DTPA.
Researchers from the ARC Centre of Excellence in Exciton Science have demonstrated a new chip-scale approach using OLEDs to image magnetic fields, offering a potential solution for portable quantum sensing. This technique enables small, flexible, and mass-producible sensing without requiring input from a laser or cryogenic temperatures.
A new study found that turning off MRIs overnight reduces their energy use by 25-33% and switching to 'power save' mode decreases energy use by 46-51%. This technique could save U.S. healthcare between $8 million and nearly $11 million annually.
Researchers at Duke University have successfully improved the resolution of Magnetic Resonance Imaging (MRI), capturing images of a mouse brain with unprecedented sharpness. The breakthrough allows for the visualization of microscopic details within the brain, enabling new insights into neurodegenerative diseases such as Alzheimer's an...
Researchers found that correctly occluded left atrial appendages minimized left atrial flow stasis and thrombogenicity using 4D flow MRI and 3D phantoms. The study provides a clinical goal for the procedure in patients with atrial fibrillation.
A novel technique of three-dimensional (3D) slice-to-volume (SVR) MRI allows for precise delineation and measurement of the fetal optic pathway (FOP). The study found that FOP was visualized in 9 cases in unprocessed fetal MRIs, compared to 55 cases in 3D SVR images.
Research finds that endocannabinoids protect against addiction in individuals exposed to childhood maltreatment. The 'resilient' group showed increased function of the endocannabinoid system and different brain activity compared to other groups.
A Swansea University study reveals the potential of machine learning in identifying Ankylosing Spondylitis (AS) patients, reducing diagnosis delays from eight years to earlier. The research uses a national data repository to develop a predictive model for AS detection, empowering GPs to refer patients more efficiently.
A new study published in Neurology shows that younger brain age is associated with superior post-stroke outcomes, suggesting a potential biomarker for stroke rehabilitation. The research team used multi-site data sets and 3D brain structural MRIs to analyze the relationship between brain age and stroke recovery.
A team led by Bill Ballard has published a new study in GigaScience to propose Cooinda, an Alpine dingo, as the model specimen to represent a typical dingo. The study presents genomic and brain imaging data that sheds light on the evolutionary history of dingoes and their domestication process.
A printable multi-energy X-ray detector made from perovskite thin films has been developed with enhanced flexibility and sensitivity. The detector can operate in a broad energy range, from 0.1 KeV to tens of KeV, making it suitable for real-time detection and imaging applications such as disease diagnosis and explosives detection.
Biyu J. He's groundbreaking research on perceptual cognition and subjective experience has challenged traditional views of consciousness. Her work explores how past experiences shape individual perception and understanding, using innovative techniques like fMRI and EEG.
Researchers from the Smidt Heart Institute found that individuals with spherical hearts are 31% more likely to develop atrial fibrillation and 24% more likely to develop cardiomyopathy. The study identified four genes associated with cardiomyopathy and a greater risk of developing atrial fibrillation.
A recent study suggests that cardiac sphericity, or the roundness of the heart, may be a useful indicator for diagnosing cardiovascular conditions. The research used machine learning to analyze medical images and found a link between increased sphericity and future heart troubles.
A large-scale study found that diagnostic errors in neuroradiology were associated with longer interpretation times and higher shift volumes. The study also revealed a significant increase in diagnostic errors during weekend work, highlighting the need for targeted quality improvement interventions.
High blood pressure damages specific brain regions, including the putamen and white matter areas, leading to cognitive decline and increased risk of dementia. The study uses a combination of MRI, genetic analyses, and observational data to identify these affected regions.
A Rutgers study found that criteria used to diagnose multiple sclerosis in adults may not be sufficient for pediatric patients, who often go undetected in early stages. The study suggests that diagnostic tools used for adults may need to be re-evaluated for children with abnormal MRI findings.
Researchers developed a non-invasive imaging tool to create real-time images of uterine contractions during labor. The electromyometrial imaging (EMMI) technique provides detailed information on contraction patterns, which can help improve labor management and clinical decision-making.
Researchers have developed a new imaging approach to diagnose advanced non-alcoholic fatty liver disease (NASH). The enzyme-sensitive nanoprobe emits signals that can be detected by MRI techniques, providing more accurate and sensitive data for diagnosis. This breakthrough aims to improve the treatment outcomes of NASH patients.
A new consensus statement calls for routine radiological screening of contact children in suspected child physical abuse cases to prevent further harm. Siblings are at risk of experiencing physical abuse, with a strong association between index and contact children.
A recent MRI study by the CNIC has established reference values for anatomical and functional parameters in adolescents' hearts, providing a crucial resource for clinical practice. The study involved 123 adolescents and aimed to fill the knowledge gap on 'normal' cardiac parameter values in this age group.